Gemini 4 Argon vs GPT OSS 120B
Gemini 4 Argon leads the LLM Stats Score 55.1 to 28.1. GPT OSS 120B is 56.9x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 28.1, ranking #4 overall.
On price, GPT OSS 120B is roughly 56.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 4 Argon also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 4 Argon
- overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
Choose GPT OSS 120B
- cost matters — it's about 56.9x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
19 reported for Gemini 4 Argon · 7 for GPT OSS 120B
Gemini 4 Argon and GPT OSS 120Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 4 Argon ($2.00/1M tokens) is 54.1x more expensive than GPT OSS 120B ($0.04/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 58.8x more expensive than GPT OSS 120B ($0.17/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than GPT OSS 120B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 4 Argon accepts 1,048,576 input tokens compared to GPT OSS 120B's 131,072 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while GPT OSS 120B is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 4 Argon supports multimodal inputs, whereas GPT OSS 120B does not.
Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 4 Argon
GPT OSS 120B
License
Usage and distribution terms
Gemini 4 Argon is licensed under a proprietary license, while GPT OSS 120B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 4 Argon was released on 2026-09-30, while GPT OSS 120B was released on 2025-08-05.
Gemini 4 Argon is 14 months newer than GPT OSS 120B.
Sep 30, 2026
2 weeks ago
1.2yr newerAug 5, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemini 4 Argon is available from Google. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.
Gemini 4 Argon
GPT OSS 120B
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and GPT OSS 120B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs GPT OSS 120B.